1 by region: how_many_hh_village

1.1 Graph regular

1.2 Graph

1.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	60.72165	45.72520	75.71810
dependent.var1	capital_central	36.29179	23.72339	48.86019
dependent.var2	north_east	44.31057	34.11060	54.51053
dependent.var3	west	59.17154	50.59274	67.75033
dependent.var4	east	50.69055	42.76680	58.61431
dependent.var5	south	47.15459	35.52909	58.78010
dependent.var6	north	44.95590	39.77987	50.13193

1.4 Statistics

two sample ttest on difference in means (two sided): p=0.058; df=450

2 by region: informal_settlement

2.1 Graph regular

2.2 Graph

2.3 Table

informal_settlement	region	numbers	CI_lw	CI_up
no	capital_central	0.7654511	0.5284897	1.0000000
no	east	0.8604435	0.7297095	0.9911776
no	north	0.9285158	0.8521533	1.0000000
no	north_east	0.9996894	0.9993380	1.0000000
no	south	0.8364660	0.7111739	0.9617580
no	south_east	0.8616757	0.7176960	1.0000000
no	west	1.0000000	1.0000000	1.0000000
yes	capital_central	0.2345489	0.0000000	0.4715103
yes	east	0.1395565	0.0088224	0.2702905
yes	north	0.0714842	0.0000000	0.1478467
yes	north_east	0.0003106	0.0000000	0.0006620
yes	south	0.1635340	0.0382420	0.2888261
yes	south_east	0.1383243	0.0000000	0.2823040
yes	west	0.0000000	0.0000000	0.0000000

2.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1049.2

3 by region: urban_rural

3.1 Graph regular

3.2 Graph

3.3 Table

urban_rural	region	numbers	CI_lw	CI_up
rural	capital_central	0.0859723	0.0000000	0.2386351
rural	east	0.6878900	0.5192686	0.8565115
rural	north	0.1841642	0.0000000	0.3699684
rural	north_east	0.1498344	0.0019484	0.2977204
rural	south	0.3054369	0.1479624	0.4629113
rural	south_east	0.8463037	0.7022782	0.9903291
rural	west	0.6537766	0.5186535	0.7888997
urban	capital_central	0.2998078	0.1053762	0.4942395
urban	east	0.0818542	0.0000000	0.1656368
urban	north	0.0278835	0.0147803	0.0409867
urban	north_east	0.3783004	0.1836979	0.5729029
urban	south	0.4961044	0.3281502	0.6640587
urban	south_east	0.0606195	0.0000000	0.1685505
urban	west	0.2670864	0.1516881	0.3824847
peri_urban	capital_central	0.6142199	0.3670587	0.8613811
peri_urban	east	0.2302557	0.0736241	0.3868873
peri_urban	north	0.7879523	0.6019649	0.9739397
peri_urban	north_east	0.4718652	0.2693940	0.6743364
peri_urban	south	0.1984587	0.0792751	0.3176423
peri_urban	south_east	0.0930769	0.0000000	0.2028657
peri_urban	west	0.0791370	0.0000000	0.1652041

3.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=2639.1

4 by region: densely_populated

4.1 Graph regular

4.2 Graph

4.3 Table

densely_populated	region	numbers	CI_lw	CI_up
no	capital_central	0.0049895	0.0004028	0.0095761
no	east	0.2115835	0.0703957	0.3527714
no	north	0.5785194	0.3422508	0.8147880
no	north_east	0.1218779	0.0000000	0.2527405
no	south	0.2238099	0.0872464	0.3603734
no	south_east	0.6757398	0.4732629	0.8782166
no	west	0.2855492	0.1327553	0.4383431
yes	capital_central	0.9950105	0.9904239	0.9995972
yes	east	0.7884165	0.6472286	0.9296043
yes	north	0.4214806	0.1852120	0.6577492
yes	north_east	0.8781221	0.7472595	1.0000000
yes	south	0.7761901	0.6396266	0.9127536
yes	south_east	0.3242602	0.1217834	0.5267371
yes	west	0.7144508	0.5616569	0.8672447

4.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1319.6

5 by region: access_to_market

5.1 Graph regular

5.2 Graph

5.3 Table

access_to_market	region	numbers	CI_lw	CI_up
no	capital_central	0.1476270	0.0000000	0.3251322
no	east	0.1703880	0.0406819	0.3000942
no	north	0.1401449	0.0000000	0.3132652
no	north_east	0.0709255	0.0000000	0.1741371
no	south	0.1309661	0.0622704	0.1996618
no	south_east	0.3163729	0.1145840	0.5181617
no	west	0.2369566	0.0961317	0.3777814
yes	capital_central	0.8523730	0.6748678	1.0000000
yes	east	0.8296120	0.6999058	0.9593181
yes	north	0.8598551	0.6867348	1.0000000
yes	north_east	0.9290745	0.8258629	1.0000000
yes	south	0.8690339	0.8003382	0.9377296
yes	south_east	0.6836271	0.4818383	0.8854160
yes	west	0.7630434	0.6222186	0.9038683

5.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1520.5

6 by region: agree_to_be_contacted

6.1 Graph regular

6.2 Graph

6.3 Table

agree_to_be_contacted	region	numbers	CI_lw	CI_up
no	capital_central	0.3626020	0.1154985	0.6097054
no	east	0.0329167	0.0000000	0.0874895
no	north	0.9067940	0.8310268	0.9825612
no	north_east	0.4477299	0.2758766	0.6195833
no	south	0.4623950	0.2962485	0.6285416
no	south_east	0.9403237	0.8324112	1.0000000
no	west	0.2376247	0.1221032	0.3531462
yes	capital_central	0.6373980	0.3902946	0.8845015
yes	east	0.9670833	0.9125105	1.0000000
yes	north	0.0932060	0.0174388	0.1689732
yes	north_east	0.5522701	0.3804167	0.7241234
yes	south	0.5376050	0.3714584	0.7037515
yes	south_east	0.0596763	0.0000000	0.1675888
yes	west	0.7623753	0.6468538	0.8778968

6.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1410.4

7 by region: head_hh_gendre

7.1 Graph regular

7.2 Graph

7.3 Table

head_hh_gendre	region	numbers	CI_lw	CI_up
male	capital_central	0.9932326	0.9873176	0.9991476
male	east	0.8845817	0.7626671	1.0000000
male	north	0.9963517	0.9904945	1.0000000
male	north_east	0.8917533	0.7619665	1.0000000
male	south	0.9517157	0.9028104	1.0000000
male	south_east	0.9391088	0.8306868	1.0000000
male	west	0.9089502	0.8205162	0.9973841
female	capital_central	0.0067674	0.0008524	0.0126824
female	east	0.1154183	0.0000000	0.2373329
female	north	0.0036483	0.0000000	0.0095055
female	north_east	0.1082467	0.0000000	0.2380335
female	south	0.0482843	0.0000000	0.0971896
female	south_east	0.0608912	0.0000000	0.1693132
female	west	0.0910498	0.0026159	0.1794838

7.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=960.1

8 by region: head_hh_old

8.1 Graph regular

8.2 Graph

8.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	48.92053	45.51463	52.32643
dependent.var1	capital_central	43.09471	39.32370	46.86572
dependent.var2	north_east	45.07540	40.37499	49.77580
dependent.var3	west	47.28778	42.81546	51.76010
dependent.var4	east	43.78893	40.45028	47.12757
dependent.var5	south	45.79618	41.78259	49.80977
dependent.var6	north	47.04796	40.63152	53.46441

8.4 Statistics

two sample ttest on difference in means (two sided): p=0.787; df=450

9 by region: head_hh_disability

9.1 Graph regular

9.2 Graph

9.3 Table

head_hh_disability	region	numbers	CI_lw	CI_up
no	capital_central	0.9260707	0.7886016	1.0000000
no	east	0.9585870	0.8777366	1.0000000
no	north	0.9879302	0.9776471	0.9982134
no	north_east	0.8525609	0.6930337	1.0000000
no	south	0.9810805	0.9589760	1.0000000
no	south_east	0.8352101	0.6736308	0.9967895
no	west	0.7324741	0.5819528	0.8829953
yes	capital_central	0.0739293	0.0000000	0.2113984
yes	east	0.0414130	0.0000000	0.1222634
yes	north	0.0120698	0.0017866	0.0223529
yes	north_east	0.1474391	0.0000000	0.3069663
yes	south	0.0189195	0.0000000	0.0410240
yes	south_east	0.1647899	0.0032105	0.3263692
yes	west	0.2675259	0.1170047	0.4180472

9.4 Statistics

Pearson’s X^2: Rao & Scott adjustment: p=NA; ddf=1322.9

10 by region: hh_number_individuals

10.1 Graph regular

10.2 Graph

10.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	12.99550	8.588316	17.40269
dependent.var1	capital_central	17.03438	11.380373	22.68838
dependent.var2	north_east	14.21727	10.843482	17.59106
dependent.var3	west	20.58123	18.698212	22.46425
dependent.var4	east	13.89538	10.497414	17.29334
dependent.var5	south	17.67935	14.975385	20.38332
dependent.var6	north	11.34279	7.427003	15.25858

10.4 Statistics

two sample ttest on difference in means (two sided): p=0.351; df=450

11 by region: female_newborn

11.1 Graph regular

11.2 Graph

11.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	1.1955399	0.7618014	1.6292784
dependent.var1	capital_central	0.3120975	0.0497760	0.5744191
dependent.var2	north_east	0.5281456	0.2519025	0.8043888
dependent.var3	west	0.4206420	0.2694100	0.5718740
dependent.var4	east	0.4413480	0.2397642	0.6429317
dependent.var5	south	0.5509862	0.3501815	0.7517908
dependent.var6	north	0.7182147	0.3288202	1.1076091

11.4 Statistics

two sample ttest on difference in means (two sided): p=0.444; df=450

12 by region: female_newborn_disabled

12.1 Graph regular

12.2 Graph

12.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	north_east	0.0102298	-0.0121868	0.0326463
dependent.var1	south_east	0.0000000	0.0000000	0.0000000
dependent.var2	south	0.0324698	-0.0311698	0.0961095
dependent.var3	north	0.1911712	-0.0548270	0.4371694
dependent.var4	west	0.0000000	0.0000000	0.0000000
dependent.var5	east	0.0015534	-0.0017817	0.0048885
dependent.var6	capital_central	0.0106608	0.0106608	0.0106608

12.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=156

13 by region: female_newborn_mental

13.1 Graph regular

13.2 Graph

13.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	north_east	0.0000000	0.0000000	0.0000000
dependent.var1	south_east	0.0045385	-0.0018263	0.0109033
dependent.var2	south	0.0000000	0.0000000	0.0000000
dependent.var3	north	0.0000000	0.0000000	0.0000000
dependent.var4	west	0.0000000	0.0000000	0.0000000
dependent.var5	east	0.0000000	0.0000000	0.0000000
dependent.var6	capital_central	0.0000000	0.0000000	0.0000000

13.4 Statistics

two sample ttest on difference in means (two sided): p=0.353; df=156

14 by region: female_newborn_chronically

14.1 Graph regular

14.2 Graph

14.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	north_east	0.0102298	-0.0121868	0.0326463
dependent.var1	south_east	0.0278207	-0.0034949	0.0591362
dependent.var2	south	0.0000000	0.0000000	0.0000000
dependent.var3	north	0.0077342	-0.0033309	0.0187994
dependent.var4	west	0.0000000	0.0000000	0.0000000
dependent.var5	east	0.0000000	0.0000000	0.0000000
dependent.var6	capital_central	0.0004523	-0.0005277	0.0014323

14.4 Statistics

two sample ttest on difference in means (two sided): p=0.34; df=156

15 by region: male_newborn

15.1 Graph regular

15.2 Graph

15.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	1.2072718	0.5978235	1.8167201
dependent.var1	capital_central	0.2305190	-0.0035799	0.4646179
dependent.var2	north_east	0.3243507	0.1024034	0.5462981
dependent.var3	west	0.2720817	0.1268115	0.4173519
dependent.var4	east	0.3718329	0.1991693	0.5444965
dependent.var5	south	0.6048204	0.3373487	0.8722920
dependent.var6	north	0.6152756	0.2785460	0.9520052

15.4 Statistics

two sample ttest on difference in means (two sided): p=0.342; df=450

16 by region: male_newborn_disabled

16.1 Graph regular

16.2 Graph

16.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	north_east	0.0000000	0.0000000	0.0000000
dependent.var1	capital_central	0.0100063	-0.0116756	0.0316883
dependent.var2	south	0.0000000	0.0000000	0.0000000
dependent.var3	south_east	0.0000000	0.0000000	0.0000000
dependent.var4	east	0.0000000	0.0000000	0.0000000
dependent.var5	west	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.3510706	-0.0069104	0.7090516

16.4 Statistics

two sample ttest on difference in means (two sided): p=0.351; df=128

17 by region: male_newborn_mental

17.1 Graph regular

17.2 Graph

17.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	north_east	0.0000000	0.0000000	0.0000000
dependent.var1	capital_central	0.0002116	0.0002116	0.0002116
dependent.var2	south	0.0000000	0.0000000	0.0000000
dependent.var3	south_east	0.0518052	0.0264211	0.0771894
dependent.var4	east	0.0000000	0.0000000	0.0000000
dependent.var5	west	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.0702141	-0.0784294	0.2188576

17.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=128

18 by region: male_newborn_chronically

18.1 Graph regular

18.2 Graph

18.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	north_east	0.0000000	0.0000000	0.0000000
dependent.var1	capital_central	0.0000000	0.0000000	0.0000000
dependent.var2	south	0.0000000	0.0000000	0.0000000
dependent.var3	south_east	0.0061526	-0.0023922	0.0146974
dependent.var4	east	0.0000000	0.0000000	0.0000000
dependent.var5	west	0.0886989	-0.0851477	0.2625454
dependent.var6	north	0.0000000	0.0000000	0.0000000

18.4 Statistics

two sample ttest on difference in means (two sided): p=0.341; df=128

19 by region: girls

19.1 Graph regular

19.2 Graph

19.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.7320491	0.2837206	1.1803776
dependent.var1	capital_central	0.5406082	0.2581904	0.8230261
dependent.var2	north_east	0.5724631	0.2081867	0.9367395
dependent.var3	west	0.4101118	0.1798578	0.6403657
dependent.var4	east	0.6781030	0.3996715	0.9565344
dependent.var5	south	0.5705999	0.3229213	0.8182784
dependent.var6	north	1.0802127	0.6560990	1.5043264

19.4 Statistics

two sample ttest on difference in means (two sided): p=0.497; df=450

20 by region: girls_disabled

20.1 Graph regular

20.2 Graph

20.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.0007964	-0.0007646	0.0023575
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0000000	0.0000000	0.0000000
dependent.var3	south	0.0000000	0.0000000	0.0000000
dependent.var4	south_east	0.0163084	-0.0027222	0.0353389
dependent.var5	west	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.0526606	-0.0588220	0.1641432

20.4 Statistics

two sample ttest on difference in means (two sided): p=0.334; df=202

21 by region: girls_mental

21.1 Graph regular

21.2 Graph

21.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.0001286	-0.0001235	0.0003807
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0000000	0.0000000	0.0000000
dependent.var3	south	0.0000000	0.0000000	0.0000000
dependent.var4	south_east	0.0000000	0.0000000	0.0000000
dependent.var5	west	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.0000000	0.0000000	0.0000000

21.4 Statistics

two sample ttest on difference in means (two sided): p=0.334; df=202

22 by region: girls_chronically

22.1 Graph regular

22.2 Graph

22.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.1556642	-0.1494321	0.4607605
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0812352	0.0812352	0.0812352
dependent.var3	south	0.0000000	0.0000000	0.0000000
dependent.var4	south_east	0.0000000	0.0000000	0.0000000
dependent.var5	west	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.1053212	-0.0406438	0.2512862

22.4 Statistics

two sample ttest on difference in means (two sided): p=0.644; df=202

23 by region: boys

23.1 Graph regular

23.2 Graph

23.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.7188515	0.3238088	1.1138941
dependent.var1	capital_central	0.6248181	0.3507673	0.8988689
dependent.var2	north_east	0.6733177	0.3862567	0.9603787
dependent.var3	west	0.2836080	0.1351738	0.4320422
dependent.var4	east	0.6103959	0.4083857	0.8124060
dependent.var5	south	0.6773946	0.3941435	0.9606458
dependent.var6	north	1.0742247	0.7210646	1.4273849

23.4 Statistics

two sample ttest on difference in means (two sided): p=0.934; df=450

24 by region: boys_disabled

24.1 Graph regular

24.2 Graph

24.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.0002222	-0.0002133	0.0006576
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	south	0.0000000	0.0000000	0.0000000
dependent.var3	south_east	0.0018718	-0.0017968	0.0055403
dependent.var4	north	0.0000000	0.0000000	0.0000000
dependent.var5	east	0.0000000	0.0000000	0.0000000
dependent.var6	west	0.0000000	0.0000000	0.0000000

24.4 Statistics

two sample ttest on difference in means (two sided): p=0.318; df=204

25 by region: boys_mental

can not test group difference with <2 different values in the dependent variable

26 by region: boys_chronically

26.1 Graph regular

26.2 Graph

26.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.2394459	-0.0925055	0.5713974
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	south	0.0000000	0.0000000	0.0000000
dependent.var3	south_east	0.0033103	-0.0013166	0.0079371
dependent.var4	north	0.0000000	0.0000000	0.0000000
dependent.var5	east	0.0000000	0.0000000	0.0000000
dependent.var6	west	0.0000000	0.0000000	0.0000000

26.4 Statistics

two sample ttest on difference in means (two sided): p=0.159; df=204

27 by region: girls5_16

27.1 Graph regular

27.2 Graph

27.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.4725439	0.1726561	0.7724317
dependent.var1	capital_central	1.5161195	1.0031658	2.0290731
dependent.var2	north_east	0.8919306	0.5688870	1.2149742
dependent.var3	west	1.0950255	0.6664473	1.5236037
dependent.var4	east	1.2066021	0.9297187	1.4834855
dependent.var5	south	0.8159039	0.5416139	1.0901939
dependent.var6	north	1.1376456	0.7844221	1.4908692

27.4 Statistics

two sample ttest on difference in means (two sided): p=0.299; df=450

28 by region: girls5_16_disabled

28.1 Graph regular

28.2 Graph

28.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.0002002	-0.0001108	0.0005112
dependent.var1	west	0.1193716	-0.0144740	0.2532173
dependent.var2	east	0.0101544	-0.0097479	0.0300566
dependent.var3	south_east	0.0090669	-0.0068955	0.0250294
dependent.var4	south	0.0000000	0.0000000	0.0000000
dependent.var5	north_east	0.0085195	-0.0097721	0.0268112
dependent.var6	north	0.0000000	0.0000000	0.0000000

28.4 Statistics

two sample ttest on difference in means (two sided): p=0.343; df=281

29 by region: girls5_16_mental

29.1 Graph regular

29.2 Graph

29.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	4.95e-05	-4.75e-05	0.0001464
dependent.var1	west	0.00e+00	0.00e+00	0.0000000
dependent.var2	east	0.00e+00	0.00e+00	0.0000000
dependent.var3	south_east	0.00e+00	0.00e+00	0.0000000
dependent.var4	south	0.00e+00	0.00e+00	0.0000000
dependent.var5	north_east	0.00e+00	0.00e+00	0.0000000
dependent.var6	north	0.00e+00	0.00e+00	0.0000000

29.4 Statistics

two sample ttest on difference in means (two sided): p=0.333; df=281

30 by region: girls5_16_chronically

30.1 Graph regular

30.2 Graph

30.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.0981582	-0.0942284	0.2905448
dependent.var1	west	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0011297	-0.0010845	0.0033439
dependent.var3	south_east	0.0091132	-0.0068745	0.0251009
dependent.var4	south	0.0000000	0.0000000	0.0000000
dependent.var5	north_east	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.0000000	0.0000000	0.0000000

30.4 Statistics

two sample ttest on difference in means (two sided): p=0.339; df=281

31 by region: girls5_16_pregnant

31.1 Graph regular

31.2 Graph

31.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.000000	0.0000000	0.0000000
dependent.var1	west	0.000000	0.0000000	0.0000000
dependent.var2	east	0.000000	0.0000000	0.0000000
dependent.var3	south_east	0.001918	-0.0022001	0.0060361
dependent.var4	south	0.000000	0.0000000	0.0000000
dependent.var5	north_east	0.000000	0.0000000	0.0000000
dependent.var6	north	0.000000	0.0000000	0.0000000

31.4 Statistics

two sample ttest on difference in means (two sided): p=0.086; df=281

32 by region: girls5_16_breastfeeding

32.1 Graph regular

32.2 Graph

32.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	capital_central	0.0981582	-0.0942284	0.2905448
dependent.var1	west	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0000000	0.0000000	0.0000000
dependent.var3	south_east	0.0000000	0.0000000	0.0000000
dependent.var4	south	0.0000000	0.0000000	0.0000000
dependent.var5	north_east	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.0037784	-0.0036271	0.0111839

32.4 Statistics

two sample ttest on difference in means (two sided): p=0.333; df=281

33 by region: boys5_16

33.1 Graph regular

33.2 Graph

33.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.5442074	0.2048012	0.8836136
dependent.var1	capital_central	1.3528434	0.7310466	1.9746402
dependent.var2	north_east	1.0189029	0.6086503	1.4291556
dependent.var3	west	0.8321987	0.5413364	1.1230609
dependent.var4	east	1.6784528	1.2624570	2.0944485
dependent.var5	south	0.8420188	0.5339122	1.1501254
dependent.var6	north	1.1794271	0.8215191	1.5373351

33.4 Statistics

two sample ttest on difference in means (two sided): p=0.394; df=450

34 by region: boys5_16_disabled

34.1 Graph regular

34.2 Graph

34.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0018718	-0.0017968	0.0055403
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	west	0.0003875	-0.0003720	0.0011470
dependent.var3	capital_central	0.0000000	0.0000000	0.0000000
dependent.var4	east	0.0868365	-0.0335815	0.2072546
dependent.var5	south	0.0002026	-0.0001945	0.0005998
dependent.var6	north	0.0000000	0.0000000	0.0000000

34.4 Statistics

two sample ttest on difference in means (two sided): p=0.159; df=254

35 by region: boys5_16_mental

35.1 Graph regular

35.2 Graph

35.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0138542	-0.0051004	0.0328088
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	west	0.0000000	0.0000000	0.0000000
dependent.var3	capital_central	0.0000000	0.0000000	0.0000000
dependent.var4	east	0.0116050	-0.0111404	0.0343505
dependent.var5	south	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.0000000	0.0000000	0.0000000

35.4 Statistics

two sample ttest on difference in means (two sided): p=0.318; df=254

36 by region: boys5_16_chronically

36.1 Graph regular

36.2 Graph

36.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0092509	-0.0088806	0.0273824
dependent.var1	north_east	0.0000000	0.0000000	0.0000000
dependent.var2	west	0.0000000	0.0000000	0.0000000
dependent.var3	capital_central	0.0000000	0.0000000	0.0000000
dependent.var4	east	0.0000000	0.0000000	0.0000000
dependent.var5	south	0.0000000	0.0000000	0.0000000
dependent.var6	north	0.0000000	0.0000000	0.0000000

36.4 Statistics

two sample ttest on difference in means (two sided): p=0.997; df=254

37 by region: female_16_18

37.1 Graph regular

37.2 Graph

37.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.2972287	0.0494317	0.5450257
dependent.var1	capital_central	0.2289479	-0.0051891	0.4630848
dependent.var2	north_east	0.3193633	0.1307478	0.5079787
dependent.var3	west	0.1533116	0.0371860	0.2694373
dependent.var4	east	0.4137750	0.2062345	0.6213155
dependent.var5	south	0.5770330	0.3508827	0.8031832
dependent.var6	north	1.0812673	0.8288336	1.3337010

37.4 Statistics

two sample ttest on difference in means (two sided): p=0.248; df=450

38 by region: female_16_18_disabled

38.1 Graph regular

38.2 Graph

38.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0026205	-0.0030057	0.0082467
dependent.var1	capital_central	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0203220	-0.0195084	0.0601523
dependent.var3	west	0.0000000	0.0000000	0.0000000
dependent.var4	north	0.1270681	-0.0956871	0.3498234
dependent.var5	south	0.0000000	0.0000000	0.0000000
dependent.var6	north_east	0.0000000	0.0000000	0.0000000

38.4 Statistics

two sample ttest on difference in means (two sided): p=0.387; df=108

39 by region: female_16_18_mental

can not test group difference with <2 different values in the dependent variable

40 by region: female_16_18_chronically

40.1 Graph regular

40.2 Graph

40.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0080946	-0.0092847	0.0254739
dependent.var1	capital_central	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0000000	0.0000000	0.0000000
dependent.var3	west	0.0000000	0.0000000	0.0000000
dependent.var4	north	0.0000000	0.0000000	0.0000000
dependent.var5	south	0.0000000	0.0000000	0.0000000
dependent.var6	north_east	0.0000000	0.0000000	0.0000000

40.4 Statistics

two sample ttest on difference in means (two sided): p=0.149; df=108

41 by region: female_16_18_pregnant

41.1 Graph regular

41.2 Graph

41.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0109716	-0.0074728	0.0294161
dependent.var1	capital_central	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0000000	0.0000000	0.0000000
dependent.var3	west	0.0000000	0.0000000	0.0000000
dependent.var4	north	0.0799374	-0.1119488	0.2718237
dependent.var5	south	0.0000000	0.0000000	0.0000000
dependent.var6	north_east	0.0000000	0.0000000	0.0000000

41.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=108

42 by region: female_16_18_breastfeeding

42.1 Graph regular

42.2 Graph

42.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0000000	0.0000000	0.0000000
dependent.var1	capital_central	0.0000000	0.0000000	0.0000000
dependent.var2	east	0.0000000	0.0000000	0.0000000
dependent.var3	west	0.0000000	0.0000000	0.0000000
dependent.var4	north	0.0799374	-0.1119488	0.2718237
dependent.var5	south	0.0000000	0.0000000	0.0000000
dependent.var6	north_east	0.0000000	0.0000000	0.0000000

42.4 Statistics

two sample ttest on difference in means (two sided): p=0; df=108

43 by region: male_16_18

43.1 Graph regular

43.2 Graph

43.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.3085039	0.0596352	0.5573726
dependent.var1	capital_central	0.3786646	0.0168104	0.7405188
dependent.var2	north_east	0.3502454	0.1543951	0.5460958
dependent.var3	west	0.2030127	0.0737807	0.3322448
dependent.var4	east	0.3999868	0.1703554	0.6296183
dependent.var5	south	0.5690575	0.3441040	0.7940110
dependent.var6	north	1.2175891	0.9622889	1.4728892

43.4 Statistics

two sample ttest on difference in means (two sided): p=0.922; df=450

44 by region: male_16_18_disabled

44.1 Graph regular

44.2 Graph

44.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0109716	-0.0096499	0.0315931
dependent.var1	capital_central	0.0000000	0.0000000	0.0000000
dependent.var2	north	0.0000000	0.0000000	0.0000000
dependent.var3	east	0.0020725	-0.0024690	0.0066139
dependent.var4	west	0.0000000	0.0000000	0.0000000
dependent.var5	north_east	0.0000000	0.0000000	0.0000000
dependent.var6	south	0.0000000	0.0000000	0.0000000

44.4 Statistics

two sample ttest on difference in means (two sided): p=0.38; df=120

45 by region: male_16_18_mental

45.1 Graph regular

45.2 Graph

45.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.0080946	-0.0113361	0.0275252
dependent.var1	capital_central	0.0000000	0.0000000	0.0000000
dependent.var2	north	0.0000000	0.0000000	0.0000000
dependent.var3	east	0.0000000	0.0000000	0.0000000
dependent.var4	west	0.0000000	0.0000000	0.0000000
dependent.var5	north_east	0.0000000	0.0000000	0.0000000
dependent.var6	south	0.0000000	0.0000000	0.0000000

45.4 Statistics

two sample ttest on difference in means (two sided): p=0.531; df=120

46 by region: male_16_18_chronically

46.1 Graph regular

46.2 Graph

46.3 Table

	region	numbers	CI_lw	CI_up
dependent.var	south_east	0.000000	0.0000000	0.0000000
dependent.var1	capital_central	0.000161	-0.0002464	0.0005683
dependent.var2	north	0.000000	0.0000000	0.0000000
dependent.var3	east	0.000000	0.0000000	0.0000000
dependent.var4	west	0.000000	0.0000000	0.0000000
dependent.var5	north_east	0.000000	0.0000000	0.0000000
dependent.var6	south	0.000000	0.0000000	0.0000000

46.4 Statistics